Alation
MARCH 31, 2023
“The most common roadblocks to the success of D&A initiatives are all human-related challenges,” they noted, citing: Skills shortages Lack of business engagement Difficulty accepting change Poor data literacy throughout the organization With D&A leaders under increasing pressure to show ROI, business alignment is critical.
Anmut
MARCH 24, 2022
The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? Suffering from “garbage in, garbage out” syndrome with bad or misapplied data leading to incorrect or irrelevant results.
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Alation
MARCH 21, 2023
Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.
Corinium
APRIL 25, 2019
Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. What do you recommend to organizations to harness this but also show a solid ROI? Governance 101.
CIO Business Intelligence
MARCH 22, 2022
Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. Data analytics powered by AI has created a wealth of business opportunity.
Domino Data Lab
AUGUST 8, 2019
In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.
CDW Research Hub
NOVEMBER 29, 2021
IoT edges are network hubs that often combine operational technology (OT) data and informational technology (IT) data. With edge computing, computation and data analytics are brought closer to the source of the data —where things and people produce or consume that information. Layer 2: Edge computing.
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